Latest AI and machine learning research in other cancers for healthcare professionals.
Chemical exchange saturation transfer (CEST) MRI is a promising molecular imaging technique but suff...
Although programmed death-(ligand) 1 (PD-(L)1) inhibitors are marked by durable efficacy in patients...
Deep learning methods have become an important tool for automatic sleep staging in recent years. How...
BACKGROUND: The preoperative diagnosis of peritoneal metastasis (PM) in epithelial ovarian cancer (E...
OBJECTIVE: Accurate diagnosis and early treatment are crucial for survival in patients with brain me...
Human epidermal growth factor receptor 2 (HER2) is an important biomarker for predicting prognosis a...
BACKGROUND: In melanoma patients, surgical excision of the first draining lymph node, the sentinel l...
The detection of tumour gene mutations by DNA or RNA sequencing is crucial for the prescription of e...
In vitro tumor models have played vital roles in enhancing the understanding of the cellular and mol...
OBJECTIVES: To construct and evaluate a gated high-resolution convolutional neural network for detec...
Understanding the molecular basis and impact of mutations at different stages of cancer are long-sta...
Microscopic examination of pathology slides is essential to disease diagnosis and biomedical researc...
INTRODUCTION: Endoscopic detection of early neoplasia in Barrett's esophagus is difficult. Computer ...
PURPOSE: Primary central nervous system lymphoma (PCNSL) is a rare, aggressive form of extranodal no...
BACKGROUND: Pretreatment identification of pathological extranodal extension (ENE) would guide thera...
BACKGROUND: Vessels encapsulating tumor cluster (VETC) is a critical prognostic factor and therapeut...
Histopathology is a crucial diagnostic tool in cancer and involves the analysis of gigapixel slides....
 Surgery is the treatment of choice for growth hormone (GH)-secreting pituitary adenoma. The remiss...
Many malignant cancers like glioblastoma are highly adaptive diseases that dynamically change their ...
OBJECTIVE: To develop and validate a deep learning (DL) model based on CT for differentiating bone i...
The accuracy and timeliness of the pathologic diagnosis of soft tissue tumors (STTs) critically affe...